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Lachance, Russ; Biaglow, Andrew – PRIMUS, 2012
This article examines the symbolic algebraic solution of the titration equations for a diprotic acid, as obtained using "Mathematica," "Maple," and "Mathcad." The equilibrium and conservation equations are solved symbolically by the programs to eliminate the approximations that normally would be performed by the student. Of the three programs,…
Descriptors: Equations (Mathematics), Algebra, Programs, Computation
Bouwmeester, Samantha; Verkoeijen, Peter P. J. L. – Cognition and Instruction, 2012
Children's estimation patterns on a number line estimation task may provide information about the mental representation of the magnitude of numbers. Siegler and his colleagues concluded that children's mental representations shift from a logarithmic-ruler representation to a linear-ruler representation. However, there are important methodological…
Descriptors: Computation, Numbers, Cognitive Processes, Kindergarten
Hung, Lai-Fa – Applied Psychological Measurement, 2012
Rasch used a Poisson model to analyze errors and speed in reading tests. An important property of the Poisson distribution is that the mean and variance are equal. However, in social science research, it is very common for the variance to be greater than the mean (i.e., the data are overdispersed). This study embeds the Rasch model within an…
Descriptors: Social Science Research, Markov Processes, Reading Tests, Social Sciences
Wylie, Judith; Jordan, Julie-Ann; Mulhern, Gerry – Journal of Experimental Child Psychology, 2012
This longitudinal study sought to identify developmental changes in strategy use between 5 and 7 years of age when solving exact calculation problems. Four mathematics and reading achievement subtypes were examined at four time points. Five strategies were considered: finger counting, verbal counting, delayed retrieval, automatic retrieval, and…
Descriptors: Reading Difficulties, Mathematics Education, Reading Achievement, Computation
Padilla, Miguel A.; Veprinsky, Anna – Educational and Psychological Measurement, 2012
Issues with correlation attenuation due to measurement error are well documented. More than a century ago, Spearman proposed a correction for attenuation. However, this correction has seen very little use since it can potentially inflate the true correlation beyond one. In addition, very little confidence interval (CI) research has been done for…
Descriptors: Correlation, Error of Measurement, Sampling, Statistical Inference
Molenaar, Dylan; Dolan, Conor V.; de Boeck, Paul – Psychometrika, 2012
The Graded Response Model (GRM; Samejima, "Estimation of ability using a response pattern of graded scores," Psychometric Monograph No. 17, Richmond, VA: The Psychometric Society, 1969) can be derived by assuming a linear regression of a continuous variable, Z, on the trait, [theta], to underlie the ordinal item scores (Takane & de Leeuw in…
Descriptors: Simulation, Regression (Statistics), Psychometrics, Item Response Theory
Broatch, Jennifer; Lohr, Sharon – Journal of Educational and Behavioral Statistics, 2012
Measuring teacher effectiveness is challenging since no direct estimate exists; teacher effectiveness can be measured only indirectly through student responses. Traditional value-added assessment (VAA) models generally attempt to estimate the value that an individual teacher adds to students' knowledge as measured by scores on successive…
Descriptors: Teacher Effectiveness, Models, Maximum Likelihood Statistics, Computation
Ferrin, Maite; Vance, Alasdair – Journal of Child Psychology and Psychiatry, 2012
Background: Neurological subtle signs (NSS) are minor neurological abnormalities that have been shown to be increased in a number of neurodevelopmental conditions. For attention deficit/hyperactivity disorder (ADHD), it remains unclear whether NSS may aid the clinical diagnostic process. Methods: This study explored the association of total and…
Descriptors: Evidence, Attention Deficit Hyperactivity Disorder, Adolescents, Short Term Memory
Wills, Andy J.; Pothos, Emmanuel M. – Psychological Bulletin, 2012
Categorization is one of the fundamental building blocks of cognition, and the study of categorization is notable for the extent to which formal modeling has been a central and influential component of research. However, the field has seen a proliferation of noncomplementary models with little consensus on the relative adequacy of these accounts.…
Descriptors: Classification, Computation, Test Items, Generalizability Theory
Koriat, Asher – Psychological Review, 2012
How do people monitor the correctness of their answers? A self-consistency model is proposed for the process underlying confidence judgments and their accuracy. In answering a 2-alternative question, participants are assumed to retrieve a sample of representations of the question and base their confidence on the consistency with which the chosen…
Descriptors: Stimuli, Validity, Computation, Task Analysis
Winkel, Brian J. – International Journal of Mathematical Education in Science and Technology, 2012
This article offers modelling opportunities in which the phenomena of the spread of disease, perception of changing mass, growth of technology, and dissemination of information can be described by one differential equation--the logistic differential equation. It presents two simulation activities for students to generate real data, as well as…
Descriptors: Mathematical Models, Calculus, Diseases, Class Activities
Avetisyan, Marianna; Fox, Jean-Paul – Psicologica: International Journal of Methodology and Experimental Psychology, 2012
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when observing multivariate response data. The beta-binomial model for binary RR data will be generalized…
Descriptors: Computation, Sample Size, Responses, Multivariate Analysis
Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
MacCallum, Robert C.; Edwards, Michael C.; Cai, Li – Psychological Methods, 2012
Muthen and Asparouhov (2012) have proposed and demonstrated an approach to model specification and estimation in structural equation modeling (SEM) using Bayesian methods. Their contribution builds on previous work in this area by (a) focusing on the translation of conventional SEM models into a Bayesian framework wherein parameters fixed at zero…
Descriptors: Structural Equation Models, Bayesian Statistics, Computation, Expertise
Hovardas, Tasos; Korfiatis, Konstantinos – Environment and Behavior, 2012
An environmental education intervention in a university conservation-related course was designed to decrease students' errors in consensus estimates for proenvironmental intentions, that is, their errors in guessing their classmates' proenvironmental intentions. Before and after the course, the authors measured two intentions regarding willingness…
Descriptors: Environmental Education, Intervention, Conservation (Environment), Activism

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